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With the increasing reliance on telemedicine, ensuring the secure transmission of medical images is crucial for protecting patient privacy and maintaining the integrity of healthcare data. Unauthorized access, data tampering, or loss can compromise diagnoses and treatment decisions, making robust security measures essential. Techniques such as encryption, steganography, and deep learning-based image recognition help safeguard medical images from cyber threats while ensuring authorized healthcare professionals can access critical information. As telemedicine continues to expand, developing advanced methods for securely transmitting 2D and 3D medical imaging is vital for maintaining trust and efficiency in remote healthcare services. Advanced Secure Transmission of Telemedicine-Based Bio-Medical Images discusses textual image recognition using machine learning/deep learning-based methods. It also offers advanced steganography ways for embedding textual data on the cover image, as well as a new way for secure transmission of biological imaging, imaging with machine learning and deep learning, and 2D, 3D imaging in the field of telemedicine. Covering topics such as medical safety systems, pharmacy data, and confidentiality, this book is an excellent resource for medical administrators, medical practitioners, data scientists, cybersecurity professionals, professionals, researchers, scholars, academicians, and more.
